Ian Werris

Background

About Ian Werris

Data Scientist with a proven track record of partnering with engineering and product teams, up through senior leadership, to drive the highest impact from data based solutions and decisions. Technical capability - I am a generalist with a wide breadth of experience across technologies and disciplines. I am comfortable ramping quickly into any problem space to develop a solution. Familiar with every aspect of the data stack, I'm always open to new technologies. Organizational savvy - I have experience cultivating strong partnerships with/between stakeholders while navigating and managing complex organizational challenges in ever changing environments. I have addressed organizational inefficiencies by proactively developing and socializing solutions. People focused - I have regularly performed every aspect of people leadership short of writing performance reviews. Helping team members grow by mentoring, coaching, prioritizing work, and providing technical guidance/feedback with a focus on performance improvement and morale. I have had a wide variety of business accomplishments through my career- Developed a recurring revenue stream in the low 9-figures annually by first identifying ad blockers were effective on Facebook feed then developing a team to address logging gaps and build mitigations to enable continued feed ad delivery- Improved cross-organization relationships and eliminating the need for repetitive time-consuming discussions at the executive level. Mitigating a recurring VP-level escalation across multiple teams by devising and leading the effort to implement a system to manage the allocation of survey resources across Meta- Eliminated a time-consuming error-prone process required to manage an 8-figure portfolio by improving system design and leveraging linear programming. The result was freeing up a full-time analyst for other work- Ensured that efforts were being prioritized to the largest pending business challenges facing Meta around privacy by providing strategic guidance on the impact of regulatory requirements around data utilization in ads determining prioritization of initiatives in a multi-year project spanning many organizations and involving employees.